A New Approach to Signature-Based Authentication

  • Georgi Gluhchev
  • Mladen Savov
  • Ognian Boumbarov
  • Diana Vasileva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)


A new signature based authentication approach is described, where signing clips are analyzed. Using an web-camera a series of frames is acquired that allows investigating the dynamics of the complex “hand-pen”. For this a set of features of the hand, the pen and their mutual disposition at the time of signing is derived. Classification and verification decision-making rule based on the Mahalanobis distance has been used. A class-related feature weighting is proposed for the improvement of accuracy. A Gaussian-based model for the description of skin color is suggested. The preliminary experimental results have confirmed the reliability of the approach.


Signature Authentication Biometrics Feature weight Classifica-tion error Color modeling 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Georgi Gluhchev
    • 1
  • Mladen Savov
    • 1
  • Ognian Boumbarov
    • 2
  • Diana Vasileva
    • 2
  1. 1.Institute of Information Technologies,2 Acad. G. Bonchev Str., Sofia 1113Bulgaria
  2. 2.Faculty of Communication Technologies, Technical University, 8, Kl. Ohridski, 1000 SofiaBulgaria

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